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We need to find more smarter ways
of building data centers and more efficient and

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sustainable ways of building NATA centers.
Welcome everyone to the Industrial Security Podcast.

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My name is Nate Nelson. I'm
here with Andrew Ginter, the vice president

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of Industrial Security at Waterfall Security Solutions, who's going to discuss the subject and

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guest of today's show. Andrew,
how are you? I'm very well,

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Thank you, Nate. Our guest
today is Vlad Gabriel Unhel. He is

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the global product manager at Data Center
Dynamics Academy or DC Academy for short.

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It's a bit of a mouthful,
you know, but what he's going to

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be talking about is industrial cybersecurity at
data centers. And you know, data

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centers are about more than just protecting
the information. I mean, obviously that's

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very important, but it's also all
about physical operations and you know, electric

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power and cooling. Lad develops educational
programs that are focused on data centers,

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and industrial cybersecurity is a very important
topic in the data center space. All

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right, a new subject for us. Let's get right into it. Hello,

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Lad, and welcome to the show. Before we get started, can

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you say a few words about your
background and about the good work that you're

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doing at Data Center Dynamics of course. Andrew, first of all, thanks

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thanks for having me. I'm Blood. I'm the global product manager at Data

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Center Dynamics is training arm which is
known as DCD Academy. I've been around

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the digital infrastructure industry for about a
decade now, and I don't think that

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will change anytime soon, as I
essentially have a deep passion for pretty much

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everything digital structure and especially data centers. I would think are by heart and

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a problem solver by trade, and
as well as that, during my high

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school years I was I became a
Cisco certified network Associate both in routing and

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switching and in security. So naturally
I now put my efforts together to ensure

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that the next generation of data center
professionals are equipped with the knowledge required to

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run these complex technical facilities. So
yeah, and I'm not Stull, that's

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me. Thanks for that. You
know, our topic today is data centers

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and and we've never had anybody on
from the world of data centers. Can

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you, you know, sort of
give us the big picture what what's a

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data center look like? Physically?
And you know, what are what are

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you know, what are the operating
priorities. I mean at a power plant,

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everybody's worried about safety first. You
know, what's it? What's it

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like working in a data center?
Right? I mean, as I said

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it's previously. I always want to
whenever I get into this this type of

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discussion, I always I always say, what is a data center? Could

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be? It's the simplest question,
but it has the most complicated answer.

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In short, it's a technical facility
where business stores, processes, and disseminates

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its data. Now this can look
on the outside, they essentially kind of

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look the same. They are warehouses. You wouldn't even be able to figure

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out that there are that's a computing
warehouse. Ort to say, there are

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multiple types of data centers. We're
not We're not going to cover all of

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them, but they vary based on
the business that that is using them.

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Right now, because of the advent
of the cloud, and because because of

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the advent of Internet of Things five
G and now AI, one of the

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main things that we're seeing within the
industry is the hyper scale segments. So

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the cloud providers, essentially cloud services
providers, essentially they do not they're not

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able to keep up. They're not
able to bring bring these facilities, bring

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these facilities around quick enough. And
when you add that, when you add

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into the mix that there's a talent
shortage in this industry, the problem becomes

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quite quite big. One of the
main things that the data center always needs

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to needs to do is what we
internally within within the industry call needs to

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be available. So availability is paramount. When a data center goes down or

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when the IT load that the data
center supports go down, there are a

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number of repercussions. First and foremost
there can be contractual repercussions, so definitely

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a financial it will take a financial
hit, and as well as that,

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there can be a reputational repercussions.
Let's take for example, trustity example of

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a bank. If the banks data
center goes down, you're not going to

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be able to check your account balance, or you might miss a payment that

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you need to do for your mortgage
for example, and so on and so

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forth. So this the data center
going down has a massive, massive impact

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on both, as I said,
the reputational and the financial financial outcome of

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of of a business. So that
makes sense. I mean that is the

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picture I have of a data center
of you know, racks of computers inside

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and and you know a warehouse looking
thing outside. But you know this is

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the Industrial Security podcast. Can you
talk about you know, what's on the

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inside. There's obviously computers, but
there's also infrastructure. What's what's that infrastructure

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look like, what's the automation on
the on the infrastructure side look like?

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And what are the security concerns?
Certainly, I mean to begin with,

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every single data center is going to
have to what we call spaces within within

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the industry. Right, every data
center is going to be split into the

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y space and the great space gray
space. The white space is essentially the

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what you can see as the IT
room is essentially the place where your story,

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your servers, your switches, your
networking gear, and everything in between.

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And the gray space is everything that
keeps this that keeps the white space

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alive. Sort to say, I
always have an analogy when when presenting this

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to to some students. You need
to look at the why space as the

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brain and the gray space as pretty
much everything else in terms of lungs,

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stomach, heart and everything else that
allows the brain to function. When it

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comes to when it comes to what's
what's inside the gray space? Because as

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you said, we're talking industrial security
within within the gray space, you've got

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the power distribution system. You also
have the environmental troll system or the coding

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system simply because and obviously all the
other like control systems and softwares, these

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are usually managed through through a Skada
instance, and because we've got because as

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I said, as I said previously
hyper scalers for example, but not just

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that, like pretty much every sector
within this market cannot build them fast enough.

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You now end up with facility managers
that previously we're tasked with managing one

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facility are now tasked with managing five
or more facilities now in order to be

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able to do this, because you
can't be in the same place five times.

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The whole gray space and the whole
equipment within the gray space, it's

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is now connected to the Internet.
Now. Again, as there's this separation

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between white space and gray space,
so is the separations of the professionals working

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within these spaces. You'll always you'll
almost always find it professionals within the white

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space that are aware of cybersecurity in
general and understand what the what the surface,

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what what what the risks are when
connecting a device to the Internet.

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Whereas on the operational technology side,
or on in or within within the gray

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space, that is not am that
is not common knowledge. So you do

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risk of having pretty much your whole, your whole if if not taken care

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of, you've got your whole,
your whole gray space, or your the

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whole infrastructure that keeps the white space
alive prone to the same type of attack

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vectors that you can find within the
IT space. A classic example, we

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all know it, and I'm sure
it's been talked previously in in in in

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previous episodes, the stacks net stacks
Neet incident was exactly was exactly that was

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a worm that's essentially buried into Zeman's
PLC and then have a knock on effect

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on everything else that those those controls
were well controlling lack of a better world

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word, So the same, the
same, the same thing can can easily

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happen within the data center. And
as we mentioned previously, you do not

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mentioned the D word or downtime.
I think an important element of this whole

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discussion is that somewhere north of like
ninety five percent of organizations now use cloud

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computing, and the security of these
environments is definitely on the radar of a

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lot of folks. Just this last
Friday, when we're recording this podcast,

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the Department of Homeland Security announced that
it's doing this whole cloud security investigation review,

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partly inspired by the fact that Microsoft
recently was it's it's cloud infrastructure was

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breached by Chinese threat actors. So
it's clearly on the radar of many people

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and something that needs to be addressed. That's right. In a lot of

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jurisdictions, data centers and you know, similar facilities are considered critical information infrastructure,

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and so when there's reliability issues at
these facilities, it's not just you

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know, financial concerns and contractual concerns. A lot of the time, the

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government is looking over your shoulder,
breathing down your neck, because this is

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critical infrastructure. When when this kind
of infrastructure drops, it's not just the

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business that suffers. It is society
that suffers. It is commerce that suffers,

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it is government that suffers. Yeah, although it occurs to me when

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you say that that in the Microsoft
case, the attackers are going after information,

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it seems like what you're talking about
has more to do with reliability of

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these data centers. Now, I've
some vague understanding that there are plenty of

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data centers out there with huge amounts
of computing resources where maybe even if one

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does go down, the load can
be transferred to another, or two,

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three, or four of others.
Is that not the case? I think

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generally it is. And you know, this is this is reaching sort of

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the borders of my knowledge here,
But I do understand that in some jurisdictions,

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certainly the United States, I think, I think Europe as well,

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in some jurisdictions you're not allowed to
move customer data out of the country or

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out of the jurisdiction in the case
of the European Union, and so that

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would tend to reduce the number of
data centers that could serve as your backups

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for those critical functions. Now,
again, I don't know which jurisdictions in

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the world have these rules. I
don't track this, but you know,

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hypothetically, if you had a smaller
jurisdiction, they only had two or three

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or four data centers in let's say
the country, and one of them fails,

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you've lost twenty five percent of your
processing capacity. You don't have as

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many options for some of those critical
functions because of the law. It actually

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reminds me of a conversation that I
was having with some folks at a major

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software company, software as a service
provider, who we're talking about Black Friday,

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when everybody is on the internet all
at once that whole weekend, and

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it's sort of like just there's so
much less resource to go around. So

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they have to solve this massive problem
of how do we use the same amount

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of infrastructure to serve this many people. And they were talking about especially because

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you know, these centers can become
overloaded and could cause one of them to

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go down. What happens in the
worst case scenario, you don't want everybody's

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shopping websites to go down all at
once. And just the sheer magnitude of

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the logistical challenge involved was impressive and
intimidating. So I get the sense that

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there isn't a ton of unused infrastructure
available even in the cases where you don't

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have those regulations in place. And
that's certainly true. You know, when

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you know in Black Friday, you
know certain days or times of the day

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or times of the year where yeah, even if you have a lot of

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data centers around, there may not
be that much separic capacity. Again,

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critical information infrastructure is sort of the
message here. Has an impact on the

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business operating the infrastructure, but it
also has an impact on society, so

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you know, this is this is
the new reality. I'm just glad that

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the cloud is upright now because our
podcasting software uses that for backup files.

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So thanks to everybody out there doing
Vlad's work. Yes. Indeed, the

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latest numbers in the twenty twenty three
Threat Report on OT cyber incidents show that

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the threat environment has changed fundamentally.
At the beginning of this decade, OT

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cyber attacks with physical consequences have changed
from a theoretical problem to a very real

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problem, more than doubling every year. The new report is focused on deliberate

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cyber attacks in the public record.
These are attacks that cause physical consequences and

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process industries and discrete manufacturing. Most
of these attacks are ransomware, though the

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fraction of activist attacks is growing,
and the report's appendix includes a complete list

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of all cyber attacks since Stuck's Net
that meet these criteria. To see how

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today's OT cyber threat environment has changed, I invite you to download the report.

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00:15:00,600 --> 00:15:05,919
A joint effort between Waterfall Security and
the ICs drive ot Incident repository.

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00:15:05,480 --> 00:15:11,600
You can download the report at Waterfall
dash Security dot com slash twenty twenty three

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00:15:11,720 --> 00:15:16,320
dash Threat dash Report, or just
go to the resources menu at the Waterfall

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00:15:16,360 --> 00:15:22,200
Security site and click on white papers
and ebooks. Okay, so you know

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preventing outages reliability is king. But
you said, you know we're connecting these

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things to the internet. You've got
remote teams. Can we talk about the

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data? What data is moving out
to the to the IT networks, What

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data is moving out to the internet, What are people looking at remotely?

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What are people using remotely? Why? Why do any of this? That's

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a great question, and well,
in a nutshell, I would say it's

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it's essentially remote management and ensuring that
all the operator like ensuring that the facility

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is within normal operating parameters. I'll
give an example. Most of most of

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outages that happen within our industry are
usually related to a power failure. But

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that power failure can happen in many
ways. It can happen because of human

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error. It can happen because a
static transfer switching or an automatic transfer switch

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failed to switch from the utility to
the backup generators that are on site.

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It can be loads of things when
and again we're talking about mechanical and electrical

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systems. Mechanical systems will always be
prone to failure. Most data centers right

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now are still being called using air. That air obviously needs to be needs

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to be funneled through to the actual
servers at a particular temperature and not a

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particular humidity level. Should the humidity
level surpass the normal operating normal operating parameters,

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you can either get a short circuit
on the board or many other things,

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small errors that you would not even
be able to assign to, I

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don't know, something like like an
old operating system failure or anything like that.

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If one thing, one thing you
will always find within a data center

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is an uninterruptable power supply. The
power that comes from the grid for a

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data center, while good to have
it, it's it's not reliable enough and

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it's not clean enough in order to
feed it directly to a server or a

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switch, for example. So all
data centers will connect their utility to the

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uninterruptable power supply. The uninterruptable power
supply is essentially a big set of batteries

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that turns the AC current that comes
in from the grid into DC current that

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can be eaten up directly by the
servers and the Therefore, because as I

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said, there is a skill also
a skill shortage within within the industry,

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you do not have enough people to
place them across all your facilities to ensure

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real time monitoring. Therefore, one
of the data that passes through as as

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as as as you pointed it out, most of it is going to be

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related to remote management. And again, depending on the flavor of data center,

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that is going to be different.
A call location data center is going

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to have totally different requirements to a
hyper scale data center in terms of what

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needs to be managed and what doesn't
need to be managed. So I would

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say I in a nutshell to sum
up, most of this data is facility

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operating parameters and as soon as something
goes already someone is able to see it

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and act upon it before the actual
law is lost. So I'm not sure

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I understand here. You know you
you said you're you're looking at this stuff.

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The goal is uptime. You're looking
at indicators of you know, potential

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problems, especially with the power supply
into the future. How far into the

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future can you see? I mean, if there's a lightning strike and a

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transformer blows out. We're talking near
instantaneous. What what kind of visibility do

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you have into that? Right,
it's not necessarily about utmost of the utmost

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visibility on pretty much everything in the
In the example that you've described, you

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might have you might have outside of
the grade space. For example, you

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might have data being pulled into from
a weather station. If you're able to

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see that the storm is going to
come and you know that the utility grid

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you're connected to is not that reliable, your switching mechanism, your power switching

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gear, for example, will detect
that there has been a loss of load

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on the utility and then it's going
to switch that over to the on side

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backup generator, which is usually diesel. Obviously there are other other other fuels

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and the industry is exploring that massively
right now. But yeah, another example

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in here would be you're you're interested
in those status changes more more like,

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if you know that you're running on
the generator for the next seven hours,

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then you can think about do I
have enough fuel to run that generator for

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seven hours in order to not lose
the load? What happens if that generator

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fails do I have another generator that
I can switch switch the load too,

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and so on and so forth.
When it comes to the cooling side of

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things, for example, you're always
interested to keep to keep the operating parameters

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in terms of humidity, temperature,
and stuff like that within within quite close

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ranges in the in the white space. If humidity drops because your humidifier essentially

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died and you weren't notified you like
the actual facility manager didn't receive another of

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that Hey in data whole one,
the humidifier is no longer firing. That

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over time can lead essentially to static
discharges that might actually fry the motherboard of

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a server and you don't know,
like in a caucation environment, for example,

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that server is owned by another company
that essentially relies on you to keep

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it alive for them to be able
to do business. So I would say

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that's that's kind of it in the
sense that you're interested in those status changes.

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You're interested to get as much data
fed into as possible, both from

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the both from the infrastructure side of
things, the server side of the white

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space side of things, and as
well as that everything else that you can

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you can get your hands on as
I said, there are a lot of

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data centers that are directly directly tied
into other stations so that they are aware

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of pressure changes coming in the next
two weeks, wind speeds and so on

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and so forth. There are other
data centers, for example, that might

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have on site power generation, like
a wind turbine, and they could technically

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make a conscious decision knowing that,
hey, we're gonna have wind speeds of

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I don't know, thirteen thirty knots
per hour next week. That essentially means

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that we can disconnect from the utility
and run on wind power for x amount

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of time and we're just gonna save
x amount of X amount of dollars at

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the end of the day. Coming
back to industrial cybersecurity, you know,

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to me, sort of the the
the cyber threat we worry about. You

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know, if if everything's connected,
well then everything's exposed. The bad guys

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can in principle get in and you
know, turn off power flows. Uh,

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you know, interrupt the the operation
of the of the data center.

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So let's let's swing back to industrial
cybersecurity. How how are we preventing that?

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What's the you know, you teach
people how to do OT security for

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data centers. What do you teach
them? I mean, essentially, I've

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always always said this, The answer
to this is education, education, education.

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The contractors that are going to work
within the contractors or engineers that are

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going to work within within the gray
space because they do not have this this

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it mindset sort to say, or
this cybersecurity mindset, they're not even aware

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that that that that might be an
issue. So therefore it's it's classic stuff.

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Really, it's stuff like have you
checked what the remote login for that

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particular piece of equipment that you're just
installed is? Have you changed the default

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remote login? Oh? You haven't, it's still admint and one two three

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four. Okay, if, for
example, you bring a new piece of

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a new generator in and you do
not cover that particular attack attack vector,

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what you can just imagine someone is
even like again, and and threats can

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come in from both directions. They
can come in from the inside from a

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disgruntled employee, for example, or
they can come in from the outside.

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When it comes to when it comes
to, as I said, like my

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previous previous example, you just got
a new piece new generator in, but

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no one changed the no one changed
the default default remote access credentials, someone

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could possibly go in put it in
maintenance mode. Then something happens to the

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utility. The power switching mechanism tries
to switch the utility, tries to switch

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the energy from the utility from the
utility grid to the onside power generation and

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the generators in maintenance mode, so
it's not going to accept the load,

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and you just lost the load.
There's and again it's like ostensibly these professionals

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are the ones working within within the
operational operation operational technology side, within the

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data center. They essentially just need
to be aware that, hey, there's

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a thought of surface surface areas of
attack. Just knowing which ones are going

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to be immediately available to someone can
essentially just just just make just make a

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total, total world of difference.
Another thing that we we strongly strongly enforce

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in in our series of e learning
when it comes to when it comes to

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cybersecurity is if something like this,
if you realize that, hey, this

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is this is a this is a
surface area of attack that no one has

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thought through, raise it up with
your manager, go go higher. Ensure

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that it is put in a standard
operating procedure when installing a new generator,

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Ensure that to come back to my
previous example, the default remote access credentials

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are changed and they are changed to
something that fits with the cybersecurity policy for

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example, of or the password policy
if you want, of the business.

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So what strikes me here is that
this all sounds very familiar, you know,

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patching passwords remote access systems. You
know, don't be silly, don't

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leave a default password on the remote
access system. And you know, in

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a sense, maybe it's not surprising. It sounds a lot like what I

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see in other you know, standards
and regulations like NERK SIP. NERK SIP

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is you know, North American critical
infrastructive protection for the power grid. It's

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all about ensuring reliability not of the
data center, but of the power grid.

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So yeah, very familiar. Focused
on reliability. Begs the question if

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this is critical industry, not critical
industrial, critical information infrastructure? Are there

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regulations in the space? Are the
regulations coming in the space? And and

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this is what I asked that next, can we talk about regulations? I

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mean other industries. The TSA just
came down with you know, new rules

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for for petrochemical pipelines nine weeks after
the Colonial incident. Similar rules just came

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out from the TSA for rail systems, you know, passenger rail systems.

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There's you know, been regulations for
the power grid in North America forever.

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There's Miss two now over in Europe. You know, is any of this

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affecting data centers? Are there?
Are there? Are there cybersecurity regulations for

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data centers? They definitely are.
I would say I would say that,

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I mean one of our cyber our
old cybersecurity track came was born of a

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need in uh For example, in
in the US, if you're part of

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the state of New York since twenty
eighteen, if you have a facility then

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houses any sort of financial information.
The engineers working within that facility are required

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to demonstrate cybersecurity training and refreshers every
six months. That's just one example when

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it comes to when it comes to
regulations in general, regulations have gotten kind

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of like how should bothers have gone? Have kicked into gears? Specifically,

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after the COVID pandemic. During the
pandemic, data center technicians were essentially classified

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as essential workers. And that was
kind of the very first time when data

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centers came to the four in the
public public mind, they were they were

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the things that essentially allowed us to
continue working, working in the conditions like

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from home and working remotely and keeping
in touch with people when we couldn't physically

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do that. Therefore, after every
after that's settled, a lot of people

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started realizing, oh my god,
these facilities use a lot of power without

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everyone actually thinking, I also use
a lot of digital services. So regulations

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are now Regulations are now coming to
the four in the sense that trying to

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essentially from the design stage in force
a sustainable and energy efficient design for legacy

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data centers. They will be required
soon within the European Union, for example,

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they will be required to share and
make public the power usage efficiency of

335
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one of the several several metrics actually, one of which is power usage efficiency,

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which essentially calculates how much power you
need to run the facility versus how

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much power you need to run just
the I load. The closer you are

338
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to one of a pee, the
more efficient you are. Obviously, that

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doesn't apply to every single type of
data center, because if you are to

340
00:30:04,880 --> 00:30:08,000
implement linquid cooling in your data center, your period is going to go up

341
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there, but you're still going to
use less resources. So there's this like

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the regulation the regulation landscape. In
a way, I feel like regulators are

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still trying to map their way through
through the industry. But when it comes

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to cybersecurity, cybersecurity regulation beyond everything
that's already out there when it comes out,

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not to like payment processing systems pc
id s s and so on and

346
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so forth. For data centers,
there's all that, and then there's another

347
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level, and the level that will
that level will be dictated by the type

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of data that you house and store. As I started when I when I

349
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answered this question in New York,
for example, they are life simple.

350
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This is going to be the law
going forward. We need people to be

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aware that cybersecurity is some thing that
needs to be of paramount importance, front

352
00:31:02,359 --> 00:31:07,000
and center into every professional's mind,
regardless if they work in a mission critical

353
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capacity or not. Now, as
time went on, other states in the

354
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US have also essentially just copied this
particular law, and we're seeing it.

355
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We're seeing it spread out as well. So the regulations are changing. But

356
00:31:22,599 --> 00:31:27,000
you know, data centers, you
know, unlike many other kinds of of

357
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sort of very conservative industrial processes,
data centers are way out on the bleeding

358
00:31:32,240 --> 00:31:37,480
edge of almost everything. What else
is happening in the data center space?

359
00:31:37,559 --> 00:31:44,039
What what new is coming down the
pipe here? That's that That again a

360
00:31:44,119 --> 00:31:48,480
very good question. And if we
go back to to my to my to

361
00:31:48,519 --> 00:31:52,720
my introduction, is this what's happening
is the reason that I'm not going to

362
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change industries anytime soon because right now
we as as as I mentioned previously,

363
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with the advent of AI, we
need to we need to find more smarter

364
00:32:04,640 --> 00:32:08,440
ways of smarter ways of building data
centers, and more efficient and sustainable ways

365
00:32:08,440 --> 00:32:14,480
of building data centers. One of
the main gripes everyone has with the data

366
00:32:14,480 --> 00:32:19,400
center facility is the amount of power
they use. That is not to say

367
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that they are. There are and
data centers out there, for example,

368
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that are completely independent of the grid
or even better, using renewable, renewable

369
00:32:30,119 --> 00:32:36,359
renewable power sources, created their own
microgroup microgrid that feeds back surplus energy into

370
00:32:36,359 --> 00:32:40,799
the grid. We have no right
now, We've got we've helped people testing

371
00:32:40,839 --> 00:32:47,839
the idea of having small nuclear reactors
on site to completely disconnect from the utility

372
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and not not even rely on the
utility per se. We were seeing,

373
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we're seeing more innovative ways of handling
your coinings system for example, oil and

374
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gas. Oil and gas is a
massive, massive use user of supercomputing.

375
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And when we're talking about supercomputers,
we currently the way the way we approach

376
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supercomputers is, hey, we just
put a bunch of computers together and ask

377
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them to do the same thing now
for better or for words, that is

378
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a data center. When it comes
to highly intensive processing tasks such as the

379
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determining determining the depth and the type
of material and the design of an oil

380
00:33:37,400 --> 00:33:43,039
well for example, or where on
particular oil oil lake or oil field is

381
00:33:43,160 --> 00:33:47,240
when it comes to when it comes
to going deep underground, these are highly

382
00:33:47,400 --> 00:33:52,880
highly intensive tasks and because they are
highly intensive tasks, they will require graphical

383
00:33:52,920 --> 00:33:57,079
processing units. Because they require graphical
processing units, the temperatures that you need

384
00:33:57,119 --> 00:34:01,119
to work with to go through the
roof, because a GPU is essentially geared

385
00:34:01,200 --> 00:34:07,960
toward to work in normal operating conditions
that around ninety degrees centigrade. When you

386
00:34:07,000 --> 00:34:13,639
get when you have thousands of these, it becomes a problem. Air can

387
00:34:13,800 --> 00:34:22,119
only can only work up to I
would say around twenty kilodes per rack if

388
00:34:22,159 --> 00:34:27,639
that, but then if we look
at liquid or dielectric fluids, they can

389
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handle much more so what happened what
happened with Because within DCD we also have

390
00:34:35,039 --> 00:34:38,519
within within the Center Dynamics, we
also have an awards series where pretty much

391
00:34:38,519 --> 00:34:45,000
everyone from from the industry submits submits
their latest and greatest designs. And one

392
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that really caught my eye was a
single phased emotion cooling data center which was

393
00:34:50,679 --> 00:34:55,519
built in Texas, but it was
built by an Australian company. Essentially,

394
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what they did they took your classic
rack that hosts servers and switches, put

395
00:35:00,800 --> 00:35:06,639
it on the side and effectively created
an emotion tub. They filled that emotion

396
00:35:06,719 --> 00:35:13,440
tub with dielectric fluid in a closed
loop system that dielectric and then the servers

397
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and well, because they only did
it for the servers, the servers were

398
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tunked horizontally vertically, sorry not horizontally, they go horizontal in a normal rack.

399
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Servers were tunked vertically with absolutely nothing
on them, so all the casing

400
00:35:30,000 --> 00:35:34,159
was out, the fans were out, and the processor was in direct contact

401
00:35:34,159 --> 00:35:37,679
with the dielectric fluid. Being in
direct contact with the direct dielectric fluid,

402
00:35:37,880 --> 00:35:43,760
it was able to cool it at
a march with much greater efficiencies, using

403
00:35:43,880 --> 00:35:49,840
way way less energy. In order
to achieve those efficiencies. So that's the

404
00:35:49,840 --> 00:35:57,400
thing. It's like we are in
a moment of I would say extreme innovation,

405
00:35:57,880 --> 00:36:04,800
simply because every single data center professional
looks ahead and realizes that this is

406
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not going to change anytime soon.
Simply like we our need of as a

407
00:36:08,920 --> 00:36:15,559
society of digital services is only going
to increase. Therefore, we're only going

408
00:36:15,639 --> 00:36:19,880
to need more data centers. We
just need to get smarter at building them

409
00:36:19,920 --> 00:36:25,639
in a more efficient and sustainable way. So I'd say that's the main thing

410
00:36:25,960 --> 00:36:30,480
going forward with with data centers.
Everyone is looking for a paradigm shift in

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how to build and operate in the
most efficient and sustainable way possible. You

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00:36:38,639 --> 00:36:43,840
know, earlier in the in the
episode lad was you know, I asked

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00:36:43,920 --> 00:36:49,719
him about safety and reliability, and
he focused it on reliability right away as

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00:36:49,800 --> 00:36:54,079
sort of the big priority here.
But when we're talking about nuclear generators on

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00:36:54,159 --> 00:36:58,199
site, you know, I have
to wonder if if you know, safety

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00:36:58,239 --> 00:37:00,039
isn't gonna isn't going to come back
into the equation in a big way in

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00:37:00,119 --> 00:37:07,360
the future. You know, I
worked in not a data center. I

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mean I worked in the university data
center full of supercomputers. This was thirty

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00:37:12,719 --> 00:37:16,199
years ago. Back then, there
were safety concerns in the data center.

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00:37:16,239 --> 00:37:20,000
I mean, obviously, when you
have large amounts of power, you've just

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00:37:20,039 --> 00:37:22,079
got to be careful what you touched
that you you don't get fried. That's

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00:37:22,079 --> 00:37:29,840
a safety concern. But you know, in some of these data centers,

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00:37:29,840 --> 00:37:31,039
and now I don't know if this
is still the case, but back in

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00:37:31,079 --> 00:37:37,800
the day, some of the data
centers did not have oxygen atmospheres. If

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00:37:37,800 --> 00:37:43,840
you were in there when the fire
suppressive atmosphere was pumped into it, you'd

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00:37:43,880 --> 00:37:45,400
asphyxiate. You. You know,
you had to have safety training just to

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00:37:45,440 --> 00:37:50,440
set foot in these wretched places because
you know, most of the time they

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00:37:50,480 --> 00:37:52,920
were filled with an atmosphere that had
no oxygen, so no fires could start.

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00:37:53,280 --> 00:37:55,840
So you didn't want to be in
there when when the oxygen or when

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00:37:55,840 --> 00:38:01,760
the when the atmosphere changed. So
you know, again, what struck me

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00:38:01,800 --> 00:38:07,000
about about the automation and the cybersecurity
concerns here, you know, is that

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00:38:07,480 --> 00:38:13,320
they seem very familiar, and it
sounds like in the future might even become

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00:38:13,639 --> 00:38:19,360
you know, even more familiar as
as these designs, you know, uh,

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00:38:20,119 --> 00:38:24,039
move more towards a space where there
are additional safety concerns on top of

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00:38:24,119 --> 00:38:28,440
the the you know, the the
top of mind reliability concerns that that all

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00:38:28,440 --> 00:38:34,840
critical infrastructures have. Well, that's
quite the vision for the future of data

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00:38:34,880 --> 00:38:37,960
centers. It's it's obviously a field
that's evolving very quickly. But you know,

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00:38:38,000 --> 00:38:43,440
coming back to cybersecurity on on the
security issue for data centers, what

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00:38:43,440 --> 00:38:45,320
what are the main takeaways? What
what what should we what should we be

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00:38:45,360 --> 00:38:51,480
thinking about for the industrial side of
the data center. Yeah, I mean

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00:38:51,840 --> 00:38:55,480
it's the way the way that I
see it. It's it's quite quite simple.

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00:38:55,719 --> 00:39:01,280
As it's part of as data center's
part of the mission critical it's a

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00:39:01,280 --> 00:39:07,559
mission critical industry. Downtime can downtime
needs to be avoided at all costs.

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00:39:07,079 --> 00:39:13,280
So I would say, first and
foremost is the old adage that we like

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00:39:13,360 --> 00:39:16,599
in this industry is education, education, education, Make your professionals, make

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00:39:16,639 --> 00:39:21,800
your engineers aware of the fact that
this is even a possibility. Most of

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00:39:21,840 --> 00:39:25,280
them are not going to be aware. You will protect your IT I equipment

448
00:39:25,360 --> 00:39:29,599
or your WHY space. You will
protect the from a cybersecurity point of view

449
00:39:30,440 --> 00:39:34,400
in as as best as you can, simply because you're going to have the

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00:39:34,440 --> 00:39:37,360
people that are able to understand this
landscape, whereas in the gray space,

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00:39:37,519 --> 00:39:43,960
you the professionals working in there have
a totally different background and therefore are not

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00:39:44,079 --> 00:39:47,320
even aware of that this this,
this is a possibility. So I would

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00:39:47,320 --> 00:39:53,079
say, yeah, just education,
education, education always always ensure that they

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00:39:53,239 --> 00:39:59,280
know this is a possibility, they
understand the repercussions of this, and as

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00:39:59,280 --> 00:40:02,280
well as that they know what to
report if something goes already, if something

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00:40:04,000 --> 00:40:08,000
looks odd, they know how to
report it up. And as I said

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00:40:08,000 --> 00:40:15,039
previously, ensure that if an event
happens or if something if a particular,

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00:40:15,119 --> 00:40:21,000
if a particular cyber security incident has
taken place, that the steps to avoid

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00:40:21,039 --> 00:40:27,960
that are embedded in the standard operating
procedure of that particular facility. And yeah,

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00:40:28,000 --> 00:40:30,960
I mean, if you're more curious
about the world of data centers,

461
00:40:31,400 --> 00:40:36,320
just visit our website data Center that
hours dot com. That's where you're going

462
00:40:36,400 --> 00:40:42,360
to find in their features on pretty
much every every every subject, the subject

463
00:40:42,599 --> 00:40:45,440
matter within the industry. That's where
you're going to find video interviews, That's

464
00:40:45,440 --> 00:40:51,239
where you're going to find the training
division, which I'm responsible for. And

465
00:40:51,320 --> 00:40:53,639
yeah, the world of data centers
is a wonderful thing, and I wish

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00:40:53,679 --> 00:41:01,000
more people would be aware of it. Andrew, clearly education is important in

467
00:41:01,039 --> 00:41:05,760
this space. But I'm wondering if
there are any other takeaways that you got

468
00:41:05,760 --> 00:41:08,400
from this episode. Yeah, well, you know, the thing that struck

469
00:41:08,440 --> 00:41:15,320
me is that a lot of these
systems, a lot of the concerns about

470
00:41:15,320 --> 00:41:20,119
cybersecurity, they're very familiar to anybody, you know, involved in any other

471
00:41:20,199 --> 00:41:24,000
kind of industrial cybersecurity operation, in
particular with the you know, the fact

472
00:41:24,039 --> 00:41:30,000
that this is critical industrial or sorry, critical informational infrastructure, and you know,

473
00:41:30,039 --> 00:41:35,840
there's such a focus on reliability.
I'm I'm reminded of the NERK zip

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00:41:35,920 --> 00:41:39,840
standards, which are also very focused
on reliability. You know, some of

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00:41:39,840 --> 00:41:44,960
the measures he talks about, you
know, teaching people about seemed familiar there.

476
00:41:45,280 --> 00:41:50,960
And unlike you know, the power
industry where you know, power uses

477
00:41:51,400 --> 00:41:54,800
is increasing a couple of percent per
year worldwide, it's sort of it's a

478
00:41:54,840 --> 00:41:59,719
mature industry. Unlike that, the
data center industry strikes me as still in

479
00:41:59,760 --> 00:42:02,960
its infancy. I mean, for
I don't know what is it now,

480
00:42:04,039 --> 00:42:07,760
fifty years we've been everything has had
more and more computers in it. Data

481
00:42:07,760 --> 00:42:12,199
centers have sprung up with more and
more computers in the more and more data

482
00:42:12,239 --> 00:42:15,039
centers. This is a growth industry. We're going to continue automating business.

483
00:42:15,039 --> 00:42:19,039
We're going to continue automating everything.
There's always going to be more computers,

484
00:42:19,039 --> 00:42:21,639
there's always going to be more data
centers, is what it sounds like.

485
00:42:22,719 --> 00:42:28,679
And the field needs expertise and experience
professionals, so yes, we need education.

486
00:42:29,119 --> 00:42:34,000
I'm wondering if there isn't an opportunity
here for industrial cybersecurity people from other

487
00:42:34,079 --> 00:42:37,199
industries, for example, the power
industry, the power sector where it's a

488
00:42:37,199 --> 00:42:42,000
mature industry. I wonder if there's
an opportunity for some of these professionals to

489
00:42:42,039 --> 00:42:46,719
switch fields and to make an impact
in a growth industry. All right,

490
00:42:47,039 --> 00:42:51,840
Well, thanks to Vlad Gabriel on
Health for speaking with you, Andrew.

491
00:42:51,960 --> 00:42:55,079
And Andrew is always thank you for
speaking with me. It's always a pleasure.

492
00:42:55,079 --> 00:43:00,480
Thank you, Nate. This has
been the Industrial Security Podcast from Waterfall.

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00:43:00,840 --> 00:43:13,400
Thanks to everyone out there listening.
M HM
